- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05139784
BeAT1D: Benign Autoimmunity and Type 1 Diabetes (BeAT1D)
Study Overview
Detailed Description
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Roberto Mallone, MD PhD
- Phone Number: +33176535583
- Email: roberto.mallone@inserm.fr
Study Contact Backup
- Name: Anna Jones
- Email: anna.jones@inserm.fr
Study Locations
-
-
Île-de-France Region
-
Bobigny, Île-de-France Region, France, 93000
- Not yet recruiting
- APHP Hopital Avicenne
-
Contact:
- Emmanuel Cosson, MD PhD
-
Bondy, Île-de-France Region, France, 93140
- Not yet recruiting
- APHP Hôpital J. Verdier
-
Contact:
- Nadine Lucidarme, MD
-
Sub-Investigator:
- Auriane Gibert, MD
-
Colombes, Île-de-France Region, France, 92700
- Not yet recruiting
- APHP Hôpital L. Mourier
-
Contact:
- Stéphanie Gréteau-Hamoumou, MD
-
Corbeil-Essonnes, Île-de-France Region, France, 91100
- Not yet recruiting
- Hôpital Sud Francilien
-
Contact:
- Alfred Penfornis, MD PhD
-
Le Chesnay, Île-de-France Region, France, 78150
- Not yet recruiting
- Hôpital Mignot - Service de Pédiatrie
-
Contact:
- Catherine Ajzenman, MD
-
Le Chesnay, Île-de-France Region, France, 78150
- Not yet recruiting
- Hôpital Mignot - Services de Diabétologie/Endocrinologie Adultes
-
Contact:
- Jean-Paul Beressi, MD
-
Le Kremlin-Bicêtre, Île-de-France Region, France, 94270
- Not yet recruiting
- APHP Hôpital Kremlin-Bicêtre
-
Contact:
- Cécile Petit-Bibal, MD
-
Paris, Île-de-France Region, France, 75010
- Not yet recruiting
- APHP Hôpital Lariboisière
-
Contact:
- Jean-François Gautier, MD PhD
-
Sub-Investigator:
- Jean-Pierre Riveline, MD PhD
-
Paris, Île-de-France Region, France, 75012
- Not yet recruiting
- APHP Hôpital Saint Antoine
-
Contact:
- Bruno Fève, MD PhD
-
Paris, Île-de-France Region, France, 75013
- Not yet recruiting
- APHP Hôpital Pitié-Salpêtrière - Service de Chirurgie
-
Contact:
- Sébastien Gaujoux, MD PhD
-
Paris, Île-de-France Region, France, 75013
- Not yet recruiting
- Hôpital Pitié-Salpêtrière - Service de Diabétologie
-
Contact:
- Chloé Amouyal, MD PhD
-
Sub-Investigator:
- Fabrizio Andreelli, MD PhD
-
Paris, Île-de-France Region, France, 75014
- Not yet recruiting
- APHP Hôpital Cochin - Service de Chirurgie
-
Contact:
- Pierre-Philippe Massault, MD
-
Paris, Île-de-France Region, France, 75014
- Recruiting
- APHP Hôpital Cochin - Service de Diabétologie et Immunologie Clinique
-
Contact:
- Etienne Larger, MD PhD
-
Paris, Île-de-France Region, France, 75015
- Not yet recruiting
- APHP Hôpital Européen G. Pompidou
-
Contact:
- Alina Radu, MD
-
Paris, Île-de-France Region, France, 75018
- Not yet recruiting
- APHP Hôpital Bichat
-
Contact:
- Ronan Roussel, MD PhD
-
Paris, Île-de-France Region, France, 75019
- Not yet recruiting
- APHP Hôpital R. Debré
-
Contact:
- Elise Bismuth, MD
-
Pontoise, Île-de-France Region, France, 95300
- Not yet recruiting
- Hôpital René Dubos
-
Contact:
- Catherine Campinos, MD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Participants with type 1 diabetes, other forms of diabetes or autoimmune endocrinopathies and participants undergoing surgical lymphadenectomy are recruited among patients referred to participating hospital centers.
Non-diabetic participants are recruited among patient's family members and via at-large calls for healthy volunteers.
Description
Inclusion Criteria:
- Type 1 diabetes: type 1 diabetes, as defined by hyperglycemia and long-term insulin therapy started within 6 months from clinical onset; and/or the presence of at least one anti-islet auto-antibody.
- Other forms of diabetes or autoimmune endocrinopathy: other forms of diabetes (e.g. type 2, ketosis-prone, familial, secondary, immunotherapy-induced diabetes); and/or other autoimmune endocrinopathies, isolated or multiple.
- No diabetes: absence of diabetes or impaired glucose tolerance; absence of tumor, infectious or immune pathologies, or other conditions related to autoimmune or metabolic alterations that may bias the variables under study.
- Lymphadenectomy planned in the frame of an abdominal surgery: pancreatic lymphadenectomy planned at the occasion of an abdominal surgery for the treatment of an underlying condition.
Exclusion Criteria:
For all participants: ongoing pregnancy; known HIV/HCV infection; absence of social security coverage; placement under judicial protection; absence of signature of the informed study consent.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Type 1 diabetes
As defined by the presence of hyperglycemia and/or islet auto-antibodies.
|
Collection of blood and stool specimens; and collection of lymph node specimens for the group undergoing surgical lymphadenectomy.
|
|
Other forms of diabetes or autoimmune endocrinopathy
Type 2 diabetes, ketosis-prone diabetes, familial diabetes, secondary diabetes, immunotherapy-induced diabetes; and/or autoimmune endocrinopathies.
|
Collection of blood and stool specimens; and collection of lymph node specimens for the group undergoing surgical lymphadenectomy.
|
|
No diabetes
No diabetes or impaired glucose tolerance; no cancer, infectious or immune pathologies; no other condition related to autoimmune and metabolic alterations that may bias the variables under study.
|
Collection of blood and stool specimens; and collection of lymph node specimens for the group undergoing surgical lymphadenectomy.
|
|
Lymphadenectomy planned at the occasion of an abdominal surgery
Patients undergoing a lymphadenectomy during surgery for the treatment of their underlying pathology.
|
Collection of blood and stool specimens; and collection of lymph node specimens for the group undergoing surgical lymphadenectomy.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To define the frequency and phenotype of autoimmune T lymphocytes reactive to islet antigens in the different study groups.
Time Frame: 6 years
|
As measured by flow cytometry and sequencing techniques, with a sample size sufficient to attain a 92% statistical power and 5% alpha risk. Frequency will be expressed as number of antigen-reactive T lymphocytes per 100,000 total T lymphocytes (e.g. 20/100,000 or 0.02%). Phenotype will be expressed as percent of antigen-reactive T lymphocytes expressing a given phenotype, e.g. 20% naïve (CD45RA+CCR7+). These 2 measures will be aggregated by expressing the frequency of antigen-reactive T lymphocytes per 100,000 total T lymphocytes expressing a given phenotype, e.g. 20/100,000 antigen-reactive T lymphocytes with 20% naïve will be expressed as 4/100,000 naive antigen-reactive T lymphocytes. |
6 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To define the frequency and phenotype of autoimmune B lymphocytes reactive to islet antigens in the different study groups.
Time Frame: 6 years
|
As measured by flow cytometry and sequencing techniques, with a sample size sufficient to attain a 92% statistical power and 5% alpha risk. Frequency will be expressed as number of antigen-reactive B lymphocytes per 100,000 total B lymphocytes (e.g. 20/100,000 or 0.02%). Phenotype will be expressed as percent of antigen-reactive B lymphocytes expressing a given phenotype, e.g. 20% memory (CD24+CD38-negative). These 2 measures will be aggregated by expressing the frequency of antigen-reactive B lymphocytes per 100,000 total B lymphocytes expressing a given phenotype, e.g. 20/100,000 antigen-reactive B lymphocytes with 20% memory will be expressed as 4/100,000 memory antigen-reactive B lymphocytes. |
6 years
|
|
To identify novel islet epitopes recognized by autoimmune T and B lymphocytes.
Time Frame: 6 years
|
As measured by a lymphocyte frequency within the expected range, e.g.
1-50/million.
|
6 years
|
|
To define the phenotype of these lymphocytes.
Time Frame: 6 years
|
As defined by exploratory analyses based on omics techniques.
|
6 years
|
|
To define the pathogenicity of these lymphocytes against pancreatic beta cells.
Time Frame: 6 years
|
As measured by an in vitro killing of beta-cell targets significantly (e.g.
>2-fold) higher than the killing observed with control lymphocytes.
|
6 years
|
|
To define the antigen receptors used by these lymphocytes to recognize their target epitopes.
Time Frame: 6 years
|
As defined by sequencing techniques and sequence annotation using IMGT and MiXCR.
Sequence sharing and similarities across receptors will be measured using MiXCR and stringdist.
|
6 years
|
|
To define the correlation between the biomarkers analyzed and insulin secretion.
Time Frame: 6 years
|
As measured based on the correlation with fasting C-peptide levels >0.2 nM.
|
6 years
|
|
To define the differences between lymphocytes in the blood and those in pancreatic lymph nodes.
Time Frame: 6 years
|
As measured using the previous frequency and phenotype readouts.
|
6 years
|
Collaborators and Investigators
Investigators
- Principal Investigator: Roberto Mallone, MD PhD, INSERM U1016 Cochin Institute
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- C20-61
- 2021-A01619-32 (Other Identifier: ID RCB)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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